装箱问题的改进蚁群算法研究

Suxin Wang, Leizhen Wang, Ruiping Shi, Meng Ge
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引用次数: 7

摘要

采用改进蚁群算法求解装箱问题。针对蚁群优化问题,建立了基于商品的禁忌矩阵。禁忌矩阵的每一列都对应商品。矩阵有两行,第一行对应货物装载访问状态,第二行对应运载货物的车辆。改进蚁群状态转移概率,求解装箱问题。根据蚂蚁禁忌表,蚂蚁搜索所有货物,满足车辆约束。通过实例说明,蚁群算法对装箱问题是可行的。
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Study on improved ant colony optimization for bin-packing problem
Improved ant colony optimization (ACO) was applied to solve bin-packing problem. A tabu matrix bases on goods is established for ant colony optimization (ACO). Tabu matrix's every column corresponds to goods. Matrix has two rows, first row corresponds to goods load visit state, and second row corresponds to vehicle that ferries the goods. Ant state transfer probability is improved to solve bin-packing problem. According to ants tabu table, all the goods are searched by ants and satisfy the vehicle constrain. Illustrated with a practical case, ACO is feasible for bin-packing problem.
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